Package: spCP 1.3
spCP: Spatially Varying Change Points
Implements a spatially varying change point model with unique intercepts, slopes, variance intercepts and slopes, and change points at each location. Inference is within the Bayesian setting using Markov chain Monte Carlo (MCMC). The response variable can be modeled as Gaussian (no nugget), probit or Tobit link and the five spatially varying parameter are modeled jointly using a multivariate conditional autoregressive (MCAR) prior. The MCAR is a unique process that allows for a dissimilarity metric to dictate the local spatial dependencies. Full details of the package can be found in the accompanying vignette. Furthermore, the details of the package can be found in the corresponding paper on arXiv by Berchuck et al (2018): "A spatially varying change points model for monitoring glaucoma progression using visual field data", <arxiv:1811.11038>.
Authors:
spCP_1.3.tar.gz
spCP_1.3.tar.gz(r-4.5-noble)spCP_1.3.tar.gz(r-4.4-noble)
spCP_1.3.tgz(r-4.4-emscripten)spCP_1.3.tgz(r-4.3-emscripten)
spCP.pdf |spCP.html✨
spCP/json (API)
# Install 'spCP' in R: |
install.packages('spCP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- GarwayHeath - Garway-Heath angles for the HFA-II
- HFAII_Queen - HFAII Queen Adjacency Matrix
- HFAII_QueenHF - HFAII Queen Hemisphere Adjacency Matrix
- HFAII_Rook - HFAII Rook Adjacency Matrix
- VFSeries - Visual field series for one patient.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:b9444cc825. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 04 2024 |
R-4.5-linux-x86_64 | OK | Dec 04 2024 |
Exports:diagnosticsis.spCPPlotCPspCP
Dependencies:cliexpmfansigenericsgluelatticelifecyclemagrittrMatrixmsmmvtnormpillarpkgconfigRcppRcppArmadillorlangsurvivaltibbleutf8vctrs
Readme and manuals
Help Manual
Help page | Topics |
---|---|
diagnostics | diagnostics |
Garway-Heath angles for the HFA-II | GarwayHeath |
HFAII Queen Adjacency Matrix | HFAII_Queen |
HFAII Queen Hemisphere Adjacency Matrix | HFAII_QueenHF |
HFAII Rook Adjacency Matrix | HFAII_Rook |
is.spCP | is.spCP |
PlotCP | PlotCP |
predict.spCP | predict.spCP |
MCMC sampler for spatially varying change point model. | spCP |
Visual field series for one patient. | VFSeries |